Concepedia

Moderate Pruning

Moderate Pruning is a pruning strategy in machine learning that belongs to the class of model compression techniques and is distinguished by removing an intermediate proportion of redundant or less significant parameters—typically between 30% and 70%—to balance model efficiency and performance retention.

12

Publications

290

Citations

57

Authors

20

Institutions

Publications per year

2017–2026

4

Parents

Publications

12

Hessian-Aware Pruning and Optimal Neural Implant

Shixing Yu, Zhewei Yao, Amir Gholami et al. · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2022 · 41 citations

, , +15

Association of Spring Pruning Practices with Severity of Powdery Mildew and Downy Mildew on Hop

David H. Gent, Mark Nelson, Gary G. Grove et al. · Plant Disease · 2012 · 41 citations

, , +17

Progressive Weight Pruning of Deep Neural Networks using ADMM

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang et al. · arXiv (Cornell University) · 2018 · 38 citations · Full text

, , +15

Effects of root pruning on the physicochemical properties and microbial activities of poplar rhizosphere soil

Dawei Jing, Fangchun Liu, Mingyou Wang et al. · PLoS ONE · 2017 · 31 citations · Full text

, , +17

Effects of root pruning on the vegetative growth and fruit quality of Zhanhuadongzao trees

Shenjiao Yang, Shangjun Xing, C. Liu et al. · Horticultural Science · 2010 · 28 citations · Full text

, , +17

1–5 of 12

Authors

57

  1. ZD
    Zhen‐Yu Du

    East China Normal University, China

    2 publications · 59 citations

    2

    h-index

  2. GG
    Gary G. Grove

    Washington State University, United States

    1 publications · 41 citations

    1

    h-index

  3. GH
    G. Haseeb

    1 publications · 16 citations

    1

    h-index

  4. JL
    Joanna L. Woods

    Oregon State University, United States

    1 publications · 41 citations

    1

    h-index

  5. MN
    Mark Nelson

    University of Illinois Urbana-Champaign, United States

    1 publications · 41 citations

    1

    h-index

1–5 of 57

Institutions

20

  1. Shandong Academy of Forestry

    Jinan, China

    2 h-index

    8 publications

    239 citations

  2. Agricultural Research Service

    Washington, United States

    2 h-index

    2 publications

    58 citations

  3. Yantai Academy of Agricultural Sciences

    Yantai, China

    1 h-index

    1 publications

    28 citations

  4. Shandong Agricultural University

    Tai’an, China

    1 h-index

    1 publications

    28 citations

  5. Tree Fruit Research Laboratory

    Wenatchee, United States

    1 h-index

    1 publications

    17 citations

  6. Washington State University

    Pullman, United States

    1 h-index

    2 publications

    82 citations

  7. Research Institute of Pomology and Floriculture

    Skierniewice, Poland

    1 h-index

    3 publications

    51 citations

  8. Polytechnic Institute of Bragança

    Bragança, Portugal

    1 h-index

    3 publications

    51 citations

1–8 of 20

Venues

  1. TURKISH JOURNAL OF AGRICULTURE AND FORESTRY

    1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 38 citations

    1

    h-index

  5. Zemdirbyste-Agriculture

    1 publications · 13 citations

    1

    h-index

1–5